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Source channel @githubtrending · Post #14787 · Jun 4

#other Git flight rules are step-by-step guides that help you fix common problems when using Git, much like how astronauts use manuals to handle emergencies in space[1][4]. These guides cover a wide range of situations—like undoing mistakes, fixing commits, managing branches, and recovering lost work—so you always know what to do if something goes wrong. The benefit is that you can quickly solve issues without getting stuck, saving time and reducing stress while working on code projects[1][4]. https://github.com/k88hudson/git-flight-rules

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djangoproject

@djangoproject · Post #98 · 07/11/2016, 12:22 PM

https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.

djangoproject

@djangoproject · Post #153 · 09/03/2016, 08:20 PM

http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.